期刊
INTERNATIONAL JOURNAL OF BIO-INSPIRED COMPUTATION
卷 3, 期 2, 页码 77-84出版社
INDERSCIENCE ENTERPRISES LTD
DOI: 10.1504/IJBIC.2011.039907
关键词
cuckoo search; CS; differential evolution; DE; firefly algorithm; FA; genetic algorithm; GA; meta-heuristic
Meta-heuristic algorithms are often nature-inspired, and they are becoming very powerful in solving global optimisation problems. More than a dozen major meta-heuristic algorithms have been developed over the last three decades, and there exist even more variants and hybrids of meta-heuristics. This paper intends to provide an overview of nature-inspired meta-heuristic algorithms, from a brief history to their applications. We try to analyse the main components of these algorithms and how and why they work. Then, we intend to provide a unified view of meta-heuristics by proposing a generalised evolutionary walk algorithm (GEWA). Finally, we discuss some of the important open questions.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据